AgileRL VS Muzero

Compare AgileRL vs Muzero and see what are their differences.

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AgileRL Muzero
12 1
501 16
4.2% -
9.8 10.0
5 days ago over 1 year ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AgileRL

Posts with mentions or reviews of AgileRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.

Muzero

Posts with mentions or reviews of Muzero. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

What are some alternatives?

When comparing AgileRL and Muzero you can also consider the following projects:

chat-ui - Open source codebase powering the HuggingChat app

neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network

RLeXplore - RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

loopquest - A Production Tool for Embodied AI

Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

de-torch - Minimal PyTorch Library for Differential Evolution

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

Stochastic-muzero - Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

Open-Llama - The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.

nn-morse - Decode morse using a neural network